AI models are converging, and capable local models already run on an ordinary computer. Like rooftop solar, local AI will reach a tipping point where owning beats renting. Businesses should plan for it now. Read more
Documenting the wrong metric By Yule Guttenbeil Most privacy and AI compliance projects I am brought in to document begin with the same assumed starting point. Map the systems. List the tools, data flows, and workflow that touch personal information, then produce a document that describes how the organisation is intended to operate. The instruction…
How upstream automation quietly shapes the decision By Yule Guttenbeil Most AI governance frameworks I encounter in Australian businesses rest on a single load-bearing assumption. The assumption is that a human at the end of the decision chain provides meaningful oversight of the automated systems that fed into it. I do not think that assumption…
The frontier AI copyright debate has skipped the most fundamental question. Everyone is arguing about whether training is fair use, whether a licensing layer can be retrofitted, and whether the EU’s text-and-data-mining opt-out is workable. Nobody is asking the question that comes before any of that: who owns the trained model? I have written a…
The Task I Hadn’t Done Before I recently had a client hand me a spreadsheet containing 63 columns of customer data. The brief was straightforward: go through each field and classify whether it could be input into an AI tool. It was the first time I’d been asked to do this. But it won’t be…
A technology company came to me in the middle of a contractual dispute. They’d been subcontracting through another business on a major project for a large enterprise client. The relationship had soured over unpaid work, and the contract they were relying on was—to put it gently—insufficient. It was maybe ten pages long with schedules. It…
End of content
End of content
